V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos | Paper Citation Record

Observation b8860e63-d9d5-451c-97d2-c2be9251fdfb · outbound

This paper cites Video Summarization Using Deep Neural Networks: A Survey,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos Video Summarization Using Deep Neural Networks: A Survey,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:44.464110Z

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Observation 158d775e-5328-4e1a-9c82-27ee2e104a6e · outbound

This paper cites Exploring Video Captioning Techniques: A Comprehensive Survey on Deep Learning Methods,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos Exploring Video Captioning Techniques: A Comprehensive Survey on Deep Learning Methods,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:44.446713Z

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Observation 406f83ab-514b-45e2-bf0b-beeb70fe0fa2 · outbound

This paper cites Automatic Image and Video Caption Generation With Deep Learning: A Concise Review and Algorithmic Overlap,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos Automatic Image and Video Caption Generation With Deep Learning: A Concise Review and Algorithmic Overlap,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:44.428989Z

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Observation e9c05887-a454-4d89-a9d9-738dfb89e2c1 · outbound

This paper cites Paralinguistic and spectral feature extraction for speech emotion classification using machine learning techniques,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos Paralinguistic and spectral feature extraction for speech emotion classification using machine learning techniques,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:44.412894Z

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Observation 2a5d50ef-e210-4feb-9889-4cbb998f71bb · outbound

This paper cites V ocal communication of emotion: A review of research paradigms,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos V ocal communication of emotion: A review of research paradigms,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:44.396586Z

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Observation 01bd08e2-d22d-40e3-a44d-0acfa3074792 · outbound

This paper cites Does speech rate influence intertemporal decisions? an experimental investigation,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos Does speech rate influence intertemporal decisions? an experimental investigation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:44.380378Z

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Observation 7ae59257-e3a4-467e-acef-53e88500a753 · outbound

This paper cites Rhythmic and speech rate effects in the perception of durational cues,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos Rhythmic and speech rate effects in the perception of durational cues,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:44.364329Z

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Observation a2ade0d4-3000-4419-baed-af51b68cd87e · outbound

This paper cites Emotion and Motivation,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos Emotion and Motivation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:44.347065Z

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Observation 1206c63c-2edc-40d9-abe7-de2313d37242 · outbound

This paper cites Language and Emotion: Introduction to the Special Issue,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos Language and Emotion: Introduction to the Special Issue,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:44.330583Z

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Observation eb766553-021e-4fd9-baef-4af8c773e48d · outbound

This paper cites Audio Description Generation in the Era of LLMs and VLMs: A Review of Transferable Generative AI Technologies,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos Audio Description Generation in the Era of LLMs and VLMs: A Review of Transferable Generative AI Technologies,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:44.313997Z

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Observation 154ff93f-b5fc-4b23-800e-19f63f840a1a · outbound

This paper cites Audio Description in the UK: What works, what doesn’t, and understanding the need for personalising access,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos Audio Description in the UK: What works, what doesn’t, and understanding the need for personalising access,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:44.296960Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e242ada3-45d2-4b6e-a2de-bea2dfc8a49d · outbound

This paper cites Audio description: The visual made verbal,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos Audio description: The visual made verbal,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:44.279056Z

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Observation 7ae61579-eaf9-49c0-836d-540cf762688e · outbound

This paper cites Ambient Lights Influence Perception and Decision-Making,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos Ambient Lights Influence Perception and Decision-Making,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:44.260231Z

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This paper cites Kobayasi,Colorist: a practical handbook for personal and profes- sional use.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos Kobayasi,Colorist: a practical handbook for personal and profes- sional use

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:44.243014Z

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This paper cites Bordwell and K.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos Bordwell and K

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:44.226099Z

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Observation 30296089-67be-4a4f-b0a7-9c35ccd29167 · outbound

This paper cites Tacotron: Towards End-to-End Speech Synthesis.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos Tacotron: Towards End-to-End Speech Synthesis

Reference 16

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Observation cc9c4cc1-59e0-4f63-a266-cf91ff424250 · outbound

This paper cites WaveNet: A Gener- ative Model for Raw Audio,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos WaveNet: A Gener- ative Model for Raw Audio,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:44.209238Z

Source-reported events for the cited work

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Observation 8d6dbc91-1d9d-4bcf-b033-7731b722fa84 · outbound

This paper cites Styletts 2: Towards human-level text-to-speech through style diffusion and adversarial training with large speech language models,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos Styletts 2: Towards human-level text-to-speech through style diffusion and adversarial training with large speech language models,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:44.192402Z

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Observation 9fc1bf72-70ac-4baa-8d65-5f4eb52cfbc1 · outbound

This paper cites Yourtts: Towards zero-shot multi-speaker tts and zero-shot voice conversion for everyone,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos Yourtts: Towards zero-shot multi-speaker tts and zero-shot voice conversion for everyone,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T19:24:43.488222Z

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Observation f5c9a6db-24f0-45a6-b00d-10560b18e533 · outbound

This paper cites InstructTTS: Modelling Expressive TTS in Discrete Latent Space with Natural Language Style Prompt,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos InstructTTS: Modelling Expressive TTS in Discrete Latent Space with Natural Language Style Prompt,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:44.163673Z

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This paper cites V oxinstruct: Expressive human instruction-to-speech generation with unified multilingual codec language modelling,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos V oxinstruct: Expressive human instruction-to-speech generation with unified multilingual codec language modelling,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:44.147043Z

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Observation fbf54452-192a-4421-8cd2-3377ceb8c5af · outbound

This paper cites TextrolSpeech: A Text Style Control Speech Corpus with Codec Language Text-to-Speech Models,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos TextrolSpeech: A Text Style Control Speech Corpus with Codec Language Text-to-Speech Models,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:44.130230Z

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Observation d6eec240-f6d7-4dea-b8db-02a3be46a599 · outbound

This paper cites PromptTTS 2: Describing and Generating V oices with Text Prompt,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos PromptTTS 2: Describing and Generating V oices with Text Prompt,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:44.113137Z

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This paper cites What Does Your Face Sound Like? 3D Face Shape towards V oice,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos What Does Your Face Sound Like? 3D Face Shape towards V oice,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:44.096453Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 05f92937-b0e1-4410-9732-ae36ae82d53c · outbound

This paper cites Multimodal Machine Learning: A Survey and Taxonomy,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos Multimodal Machine Learning: A Survey and Taxonomy,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:44.078241Z

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Observation 32efbc5e-5cac-43de-afb7-d41906ca3844 · outbound

This paper cites Multimodal Transformer for Unaligned Multimodal Language Sequences,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos Multimodal Transformer for Unaligned Multimodal Language Sequences,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:44.060827Z

Source-reported events for the cited work

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Observation ee20c200-d7fe-4b0d-8b73-2a133dc09926 · outbound

This paper cites MM-TTS: Multi-Modal Prompt Based Style Transfer for Expressive Text-to-Speech Synthesis,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos MM-TTS: Multi-Modal Prompt Based Style Transfer for Expressive Text-to-Speech Synthesis,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:44.042914Z

Source-reported events for the cited work

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This paper cites Face2Speech: Towards Multi-Speaker Text-to-Speech Synthesis Using an Embedding Vector Predicted from a Face Image.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos Face2Speech: Towards Multi-Speaker Text-to-Speech Synthesis Using an Embedding Vector Predicted from a Face Image

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:44.024907Z

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Observation 737b1011-0653-4d9a-95b6-266124a944b8 · outbound

This paper cites Imaginary V oice: Face-Styled Diffusion Model for Text-to-Speech,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos Imaginary V oice: Face-Styled Diffusion Model for Text-to-Speech,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:44.006035Z

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Observation 69cb87c1-020e-4e9a-a8af-7ddcc8a71166 · outbound

This paper cites Face-based V oice Conversion: Learning the V oice behind a Face,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos Face-based V oice Conversion: Learning the V oice behind a Face,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:43.987917Z

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Observation 8e8ae700-4c78-4e78-9ee8-315aa8d2c3bf · outbound

This paper cites EALD-MLLM: Emotion Analysis in Long-sequential and De-identity videos with Multi-modal Large Language Model,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos EALD-MLLM: Emotion Analysis in Long-sequential and De-identity videos with Multi-modal Large Language Model,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:43.970554Z

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Observation 9d4793a2-8c95-464a-9375-920ad525d446 · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos Prompt-to-Prompt Image Editing with Cross Attention Control,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:43.952962Z

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Observation 126278fd-f50f-43c1-b1eb-eb724913a4e3 · outbound

This paper cites On the Opportunities and Risks of Foundation Models,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos On the Opportunities and Risks of Foundation Models,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:43.934970Z

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Observation 31ef3ae8-e367-4b71-b60a-6c4ade301bbb · outbound

This paper cites Learning Transferable Visual Models From Natural Language Super- vision,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos Learning Transferable Visual Models From Natural Language Super- vision,

Reference 34

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Source-reported events for the cited work

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Observation 3d06d6dc-79dc-4c42-9330-c2ae289fea9f · outbound

This paper cites ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:43.904770Z

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Observation 5c3ab2d0-8748-4e9b-bcc7-e1f0c1626e44 · outbound

This paper cites Video (language) modeling: a baseline for generative models of natural videos,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos Video (language) modeling: a baseline for generative models of natural videos,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:43.886972Z

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Observation e1701d47-786d-4fa4-a8da-2256797fce40 · outbound

This paper cites ESCoT: Towards Interpretable Emotional Support Dialogue Systems,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos ESCoT: Towards Interpretable Emotional Support Dialogue Systems,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:43.869201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7c76fb4c-2b38-4fa2-bf05-0294ed236ded · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos Chain-of-thought prompting elicits reasoning in large language models,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:43.851199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 497cc129-74de-4c4c-83d6-34f02c58d374 · outbound

This paper cites AutoFoley: Artificial Synthesis of Syn- chronized Sound Tracks for Silent Videos With Deep Learning,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos AutoFoley: Artificial Synthesis of Syn- chronized Sound Tracks for Silent Videos With Deep Learning,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:43.833608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9ba9a32c-6ca3-47eb-8882-12b75e67327d · outbound

This paper cites MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:43.816183Z

Source-reported events for the cited work

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Observation 594c3961-62c0-4484-bab1-3a1e523497aa · outbound

This paper cites V ocoder-Based Speech Synthesis from Silent Videos,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos V ocoder-Based Speech Synthesis from Silent Videos,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:43.799106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 24afd26e-ed5a-4f7d-8684-ae19e4c93433 · outbound

This paper cites Sonicvisionlm: Playing sound with vision language models,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos Sonicvisionlm: Playing sound with vision language models,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:43.780714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7b40f8ce-19fe-4f2d-a40a-3538288d9573 · outbound

This paper cites ‘The problem-centred expert interview’. Combining qual- itative interviewing approaches for investigating implicit expert knowl- edge,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos ‘The problem-centred expert interview’. Combining qual- itative interviewing approaches for investigating implicit expert knowl- edge,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:43.761256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d5c21d8a-1c4c-4770-8be6-0cf24d659f51 · outbound

This paper cites Pleasure-arousal-dominance: A general framework for describing and measuring individual differences in Temperament,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos Pleasure-arousal-dominance: A general framework for describing and measuring individual differences in Temperament,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:43.743018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2a71155e-bb1e-4264-a9c3-f76e58c61d21 · outbound

This paper cites Pleasure, Arousal, Dominance: Mehrabian and Russell revisited,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos Pleasure, Arousal, Dominance: Mehrabian and Russell revisited,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:43.726248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 75de29f2-1089-402a-a2d7-e7f90cc8894c · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos Gemini: A Family of Highly Capable Multimodal Models,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:43.708286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1b1aa4ce-d4d3-4b2c-8712-18e69e1f7595 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks,.

V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:24:43.690513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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